Physics-Informed Explainable Continual Learning on Graphs
- Ciyuan Peng
- Tao Tang
- et al.
- 2024
- IEEE TNNLS
Publications
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- Machine Learning
1425 results for Machine Learning
International Workshop on Federated Learning in the Age of Foundation Models
- Jinghui Chen
- Lixin Fan
- et al.
- 2023
- NeurIPS 2023
IDMU: Impact Driven Machine Unlearning
- Shubhi Asthana
- Bing Zhang
- et al.
- 2023
- Big Data 2023
TensorBank: Tensor Lakehouse for Foundation Model Training
- Romeo Kienzler
- Johannes Schmude
- et al.
- 2023
- Big Data 2023
Pruning Federated Learning Models for Anomaly Detection in Resource-Constrained Environments
- Simone Magnani
- Stefano Braghin
- et al.
- 2023
- Big Data 2023
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
- Nicolas Menet
- Michael Hersche
- et al.
- 2023
- NeurIPS 2023
Modulated Neural ODEs
- Ilze Amanda Auzina
- Cagatay Yildiz
- et al.
- 2023
- NeurIPS 2023
Towards Label Position Bias in Graph Neural Networks
- Haoyu Han
- Xiaorui Liu
- et al.
- 2023
- NeurIPS 2023
TIES-Merging: Resolving Interference When Merging Models
- Prateek Yadav
- Derek Tam
- et al.
- 2023
- NeurIPS 2023
Transformers over Directed Acyclic Graphs
- Yuankai Luo
- Veronika Thost
- et al.
- 2023
- NeurIPS 2023